Adrian Woolfson discusses "artivolution," the future of engineered species, and the implications for humanity and nature.

The real challenge of AI readiness is teaching employees how to question, validate, and supervise automated systems.

Discover 25 historical figures who were initially called crazy but were right all along. From Galileo to Tesla, explore ...

AIhub is excited to launch a new series, speaking with leading researchers to explore the breakthroughs driving AI and the ...

Just when engineers thought they had mastered tuning parameters and torque curves, along comes AI-driven motion systems to rewrite the rules. Intelligent design tools and adaptive control algorithms ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended ...

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

Earlier this month, the corporation Anthropic announced that its latest model, Claude Mythos Preview, is too dangerous for public release. During testing, ...

Stacker has chronicled social, scientific, and business inventions that changed America over hundreds of years.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...